Association between Endothelial nitric oxide synthase and Hepatic lipase gene polymorphisms with the risk of coronary artery disease in Southern Iran population – A case control study

Abstract

Coronary artery disease is a multifactorial genetic disease caused by the interaction between genetic and environmental factors. Angiography is the gold standard method for the diagnosis and determining the stage of cardiac disorder. The rs1800588 at the Hepatic Lipase gene and rs1799983 at the endothelial nitric oxide synthase (eNOS) gene are two candidate SNP that result in increased risk of this disease. The aim of this study was to find out the associations of the two mentioned polymorphisms with angiographically proven coronary artery patients in a southern Iranian population. In this study, this two polymorphisms in 287 patients and 229 matched controls were confirmed by angiography and analyzed. Genotype analysis was carried out by PCR and RFLP. Data showed that a significant difference for the eNOS gene polymorphism (p = 0.004) and a non-significant difference for the Hepatic lipase polymorphism (p = 0.261) and increasing severity of angiographic evidences of coronary artery disease were observed. Conclusively the significant association of the G894T with the narrowing of two or three coronary vessels of this patients in an Iranian population have been detected.

Keywords:

• Cardiac disorder
• candidate genes
• restriction fragment length polymorphism

Acknowledgment

The authors would like to thank the doctors, nurses and patients in angiography ward of Golestan Hospital, specially Zohreh Azarshine, Zahra Shojae, Masoumeh Aghajari, Alireza Behbahani and Sima Ataeian for helping in data collection and technical collaboration. This study was approved by the Ethics Committee of Ahvaz Jundishapur University of Medical Sciences (CVRC-9102).

Declaration of interest

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the research affairs of Ahvaz Jundishapur University of Medical Sciences under Grant CVRC-9102.